AI in the World - The Most Important Events from June 3, 2026

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arXiv:2606.03967v1 Announce Type: cross Abstract: We describe AlignAtt4LLM, an IWSLT 2026 simultaneous speech translation system for English to German, Italian, and Chinese.

The system is a synchronous cascade: Qwen3-ASR with forced alignment produces an incrementally updated source transcript, and Gemma-4 E4B-it translates that prefix under an MT-side AlignAtt policy.

To our knowledge, this is the first application of AlignAtt to a decoder-only LLM, where the encoder-decoder cross-attention used by earlier AlignAtt systems is absent.

We recover a usable policy by proposing (1) an explicit source span in the prompt, (2) offline selection of translation-specific alignment heads, (3) selective qk-fast replay of the draft-to-source attention block, and (4) runtime query/key capture that preserves model outputs bit-identically.

On the IWSLT 2026 development set, AlignAtt4LLM outperforms the Why this matters: It is worth observing the impact of this information on the market, regulations, and AI users.

Source: arXiv AI (3.06.2026) Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism ...

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